Literature DB >> 32930657

Zinc sulfate in combination with a zinc ionophore may improve outcomes in hospitalized COVID-19 patients.

Philip M Carlucci1, Tania Ahuja2, Christopher Petrilli3,1, Harish Rajagopalan3, Simon Jones4,5, Joseph Rahimian1.   

Abstract

Introduction. COVID-19 has rapidly emerged as a pandemic infection that has caused significant mortality and economic losses. Potential therapies and prophylaxis against COVID-19 are urgently needed to combat this novel infection. As a result of in vitro evidence suggesting zinc sulphate may be efficacious against COVID-19, our hospitals began using zinc sulphate as add-on therapy to hydroxychloroquine and azithromycin.Aim. To compare outcomes among hospitalized COVID-19 patients ordered to receive hydroxychloroquine and azithromycin plus zinc sulphate versus hydroxychloroquine and azithromycin alone.Methodology. This was a retrospective observational study. Data was collected from medical records for all patients with admission dates ranging from 2 March 2020 through to 11 April 2020. Initial clinical characteristics on presentation, medications given during the hospitalization, and hospital outcomes were recorded. The study included patients admitted to any of four acute care NYU Langone Health Hospitals in New York City. Patients included were admitted to the hospital with at least one positive COVID-19 test and had completed their hospitalization. Patients were excluded from the study if they were never admitted to the hospital or if there was an order for other investigational therapies for COVID-19.Results. Patients taking zinc sulphate in addition to hydroxychloroquine and azithromycin (n=411) and patients taking hydroxychloroquine and azithromycin alone (n=521) did not differ in age, race, sex, tobacco use or relevant comorbidities. The addition of zinc sulphate did not impact the length of hospitalization, duration of ventilation or intensive care unit (ICU) duration. In univariate analyses, zinc sulphate increased the frequency of patients being discharged home, and decreased the need for ventilation, admission to the ICU and mortality or transfer to hospice for patients who were never admitted to the ICU. After adjusting for the time at which zinc sulphate was added to our protocol, an increased frequency of being discharged home (OR 1.53, 95 % CI 1.12-2.09) and reduction in mortality or transfer to hospice among patients who did not require ICU level of care remained significant (OR 0.449, 95 % CI 0.271-0.744).Conclusion. This study provides the first in vivo evidence that zinc sulphate may play a role in therapeutic management for COVID-19.

Entities:  

Keywords:  coronavirus; covid 19; hydroxychloroquine; ionophore; mortality; zinc

Mesh:

Substances:

Year:  2020        PMID: 32930657      PMCID: PMC7660893          DOI: 10.1099/jmm.0.001250

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


Introduction

The World Health Organization has declared a pandemic due to the spread of the coronavirus disease of 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) [1, 2]. Despite limited and conflicting data, the U.S. Food and Drug Administration authorized the emergency use of hydroxychloroquine for the treatment of COVID-19 with or without azithromycin. Hydroxychloroquine was thought to be efficacious partly based on in vitro activity against SARS-CoV-2 [3]. However, clinical data in humans has yielded mixed and disappointing results [4-7]. In spite of this, hydroxychloroquine may still have a role at blocking coronavirus replication, when used in combination with zinc, which inhibits coronavirus RNA polymerase activity. Zinc is an essential trace element that is required for the maintenance of adaptive and innate immune responses [8]. The benefits of zinc have previously been recognized for its therapeutic use against other respiratory viruses including those that cause the common cold [9-11]. Zinc has also been observed to improve pneumonia in children and its deficiency is associated with pneumonia in the elderly [9, 12, 13]. Implicating a role for zinc in COVID-19, zinc inhibits viral RNA-dependent RNA polymerase, and has been shown to do this in vitro against SARS-CoV [14]. When combined with a zinc ionophore, such as hydroxychloroquine, cellular uptake is increased making it more likely to achieve suitably elevated intracellular zinc concentrations for viral inhibition [10, 15]. This combination is already being tested as a prophylactic regimen in a prospectively followed cohort (NCT04326725) and in a randomized clinical trial (NCT04377646). Other trials are also investigating this regimen for therapeutic efficacy (NCT04370782, NCT04373733). As New York became the epicentre of the pandemic, hospitals in the area quickly adopted investigational therapies, including the use of hydroxychloroquine and azithromycin. Given this proposed synergistic effect of zinc with hydroxychloroquine, practices at NYULH changed and the addition of zinc sulphate 220 mg PO BID along with hydroxychloroquine 400 mg once followed by 200 mg PO BID with azithromycin 500 mg once daily became part of the treatment approach for patients admitted to the hospital with COVID-19. This study sought to investigate outcomes among patients who received hydroxychloroquine and azithromycin alone compared to those who received triple therapy of hydroxychloroquine and azithromycin plus zinc sulphate.

Methods

We performed a retrospective analysis of data from patients hospitalized with confirmed SARS-CoV-2 infection at NYU Langone Health. Data was collected from electronic medical records (Epic Systems, Verona, WI, USA) for all patients being treated with admission dates ranging from 2 March 2020 through 11 April 2020. Patients were admitted to any of four acute care NYU Langone Health hospitals across New York City. COVID-19 positivity was determined by real-time reverse-transcriptase PCR (RT-PCR) of nasopharyngeal or oropharyngeal swabs. Patients were included in the study if they were admitted to the hospital, had at least one positive test for COVID-19, were ordered to receive hydroxychloroquine and azithromycin, and had either been discharged from the hospital, transitioned to hospice or expired. Patients were excluded from the study if they were never admitted to the hospital or if there was an order for other investigational therapies for COVID-19, including tocilizumab, nitazoxanide, rituximab, anakinra, remdesivir or lopinavir/ritonavir during the course of their hospitalization to avoid potential confounding effects of these medications. We collected demographics as reported by the patient and any past medical history of hypertension, hyperlipidemia, coronary artery disease, heart failure, chronic obstructive pulmonary disease, asthma, malignancy other than non-melanoma skin malignancy and diabetes. We also recorded vital signs on admission, the first set of laboratory results as continuous variables, and relevant medications as categorical variables, including NSAIDs, anticoagulants, antihypertensive medications and corticosteroids ordered at any point during the course of the hospitalization. We compared clinical outcomes of patients who received a combination of zinc sulphate plus hydroxychloroquine, a zinc ionophore, to those that received hydroxychloroquine without zinc supplementation.

Statistics

Patients were categorized based on their exposure to hydroxychloroquine (400 mg load followed by 200 mg twice daily for 5 days) and azithromycin (500 mg once daily) alone or with zinc sulphate (220 mg capsule containing 50 mg elemental zinc twice daily for 5 days) as treatment in addition to standard supportive care. Descriptive statistics are presented as mean and standard deviation or mean and interquartile range for continuous variables and frequencies for categorical variables. Normality of distribution for continuous variables was assessed by measures of skewness and kurtosis, deeming the dataset appropriate for parametric or nonparametric analysis. A two-tailed Student’s t-test was used for parametric analysis, and a Mann–Whitney U test was used for nonparametric data analysis. Pearson’s chi-squared test was used to compare categorical characteristics between the two groups of patients. Linear regression for continuous variables or logistic regression for categorical variables was performed with the presence of zinc as the predictor variable and outcome measures [duration of hospital stay, duration of mechanical ventilation, maximum oxygen flow rate, average oxygen flow rate, average FiO2, maximum FiO2, admission to the intensive care unit (ICU), duration of ICU stay, death/hospice, need for intubation, and discharge destination], as dependent variables. Data was log transformed where appropriate to render the distribution normal for linear regression analysis. Multivariate logistic regression was used to adjust for the timing that our protocol changed to include zinc therapy using admission before or after 25 March as a categorical variable. P values less than 0.05 were considered to be significant. All analyses were performed using STATA/SE 16.0 software (STATA Corp.).

Study approval

The study was approved by the NYU Grossman School of Medicine Institutional Review Board. A waiver of informed consent and a waiver of the Health Information Portability Privacy act were granted.

Results

Patients taking zinc sulphate in addition to hydroxychloroquine and azithromycin (n=411) and patients taking hydroxychloroquine and azithromycin alone (n=521) did not differ in age, race, sex, tobacco use or past medical history (Table 1). On hospital admission, vital signs differed by respiratory rate and baseline systolic blood pressure. The first laboratory measurements of inflammatory markers including white blood cell count, absolute neutrophil count, ferritin, d-dimer, creatine phosphokinase, creatinine and C-reactive protein did not differ between groups. Patients treated with zinc sulphate had higher baseline absolute lymphocyte counts [median (IQR), zinc: 1 (0.7–1.3) vs. no zinc: 0.9(0.6–1.3), P value: 0.0180] while patients who did not receive zinc had higher baseline troponin [0.01 (0.01–0.02) vs. 0.015 (0.01–0.02), P value: 0.0111] and procalcitonin [0.12 (0.05–0.25) vs 0.12 (0.06–0.43), P value: 0.0493] (Table 1).
Table 1.

Comparisons of baseline characteristics and hospital medications. Data are represented as median (IQR) or mean±sd. Sample size is reported where it differed due to lab results not tested. P values were calculated using two-sided t-test for parametric variables and Mann–Whitney U test for nonparametric continuous variables. Pearson's χ 2 test was used for categorical comparisons. P < 0.05 was deemed significant. Laboratory results represent the first measured value while hospitalized

Zinc

N=411

No zinc

N=521

P value

Demographics

Age

63.19±15.18

61.83±15.97

0.0942

Female Sex

147 (35.7 %)

201 (38.6 %)

0.378

Race

0.428

  African American

68 (16.5 %)

81 (15.5 %)

  White

189 (46.0 %

244 (46.8 %)

  Asian

30 (7.3 %)

30 (5.8 %)

  Other

97 (23.6 %)

142 (27.2 %)

  Multiracial/Unknown

27 (6.6 %)

24 (4.6 %)

History

Tobacco use

0.142

  Never or Unknown

306 (74.5 %)

382 (73.3 %)

  Former

76 (18.5 %)

115 (22.1 %)

  Current

29 (7.1 %)

24 (4.6 %)

Any cardiovascular condition

182 (44.3 %)

248 (47.6 %)

0.313

  Hypertension

154 (37.5 %)

208 (39.9 %)

0.445

  Hyperlipidemia

99 (24.1 %)

148 (28.4 %)

0.138

  Coronary Artery Disease

36 (8.8 %)

41 (7.9 %)

0.624

  Heart Failure

26 (6.3 %)

22 (4.2 %)

0.149

  Asthma or COPD

50 (12.2 %)

56 (10.7 %)

0.499

  Diabetes

105 (25.5 %)

130 (25.0 %)

0.835

  Malignancy

23 (5.6 %)

33 (6.3 %)

0.638

  Transplant

3 (0.7 %)

2 (0.4 %)

0.473

  Chronic Kidney Disease

47 (11.4 %)

44 (8.4 %)

0.127

  BMI kg/m2

29.17 (25.8–33.42)

29.29 (25.77–33.2)

0.8611

Admission Characteristics

  Oxygen saturation at presentation

94 (91–96)*

94 (91–96)†

0.1729

  Respiratory Rate, respirations per minute

20 (19–24)

20 (18–24)

0.0460

  Pulse, beats per minute

97.66±18.61

99.40±19.82

0.0858

  Baseline Systolic BP, mmHg

134.83±20.84

132.41±21.87

0.0435

  Baseline Diastolic BP, mmHg

76.66±12.62

76.59±14.22

0.4670

  Temperature, degrees Celsius

37.65±0.82

37.72±0.94

0.1354

  White blood cell count 103/ul

6.9 (5.1–9.0)

N=400

6.9 (5.1–9.3)

N=500

0.5994

  Absolute neutrophil count, 103/ul

5.15 (3.6–7.05)

N=388

5.4 (3.8–7.5)

N=488

0.0838

  Absolute lymphocyte count, 103/ul

1 (0.7–1.3)

N=388

0.9 (0.6–1.3)

N=482

0.0180

  Ferritin, ng ml−1

739 (379–1528)

N=397

658 (336.2–1279)

N=473

0.1304

  d-Dimer, ng ml−1

341 (214–565)

N=384

334 (215–587)

N=435

0.7531

  Troponin, ng ml−1

 0.01 (0.01–0.02)

N=389

0.015 (0.01–0.02)

N=467

0.0111

  Creatine Phosphokinase, U l−1

140 (68–330)

N=343

151.5 (69.5–398.5)

N=344

0.4371

  Procalcitonin, ng l−1

0.12 (0.05–0.25)

N=395

0.12 (0.06–0.43)

N=478

0.0493

  Creatinine, mg l−1

0.97 (0.8–1.34)

N=400

0.99 (0.8–1.27)

N=499

0.4140

  C-Reactive Protein, mg l−1

104.95 (51.1–158.69)

N=398

108.13 (53–157.11)

N=480

0.9586

Medications recorded during hospitalization

  NSAID

53 (12.9 %)

74 (14.2 %)

0.563

  Anticoagulant

402 (97.8 %)

511 (98.1 %)

0.772

  ACE inhibitor or arb

138 (33.6 %

175 (33.7 %)

0.997

  Beta Blocker

91 (22.1 %)

132 (25.3 %)

0.256

  Calcium Channel Blocker

89 (21.7 %)

104 (20.0 %)

0.527

  Corticosteroid

40 (9.7 %)

47 (9.0 %)

0.711

*Measured on supplemental oxygen for 86.4 %

†Measured on supplemental oxygen for 83.1 %.

Comparisons of baseline characteristics and hospital medications. Data are represented as median (IQR) or mean±sd. Sample size is reported where it differed due to lab results not tested. P values were calculated using two-sided t-test for parametric variables and Mann–Whitney U test for nonparametric continuous variables. Pearson's χ 2 test was used for categorical comparisons. P < 0.05 was deemed significant. Laboratory results represent the first measured value while hospitalized Zinc N=411 No zinc N=521 P value Demographics Age 63.19±15.18 61.83±15.97 0.0942 Female Sex 147 (35.7 %) 201 (38.6 %) 0.378 Race 0.428 African American 68 (16.5 %) 81 (15.5 %) White 189 (46.0 % 244 (46.8 %) Asian 30 (7.3 %) 30 (5.8 %) Other 97 (23.6 %) 142 (27.2 %) Multiracial/Unknown 27 (6.6 %) 24 (4.6 %) History Tobacco use 0.142 Never or Unknown 306 (74.5 %) 382 (73.3 %) Former 76 (18.5 %) 115 (22.1 %) Current 29 (7.1 %) 24 (4.6 %) Any cardiovascular condition 182 (44.3 %) 248 (47.6 %) 0.313 Hypertension 154 (37.5 %) 208 (39.9 %) 0.445 Hyperlipidemia 99 (24.1 %) 148 (28.4 %) 0.138 Coronary Artery Disease 36 (8.8 %) 41 (7.9 %) 0.624 Heart Failure 26 (6.3 %) 22 (4.2 %) 0.149 Asthma or COPD 50 (12.2 %) 56 (10.7 %) 0.499 Diabetes 105 (25.5 %) 130 (25.0 %) 0.835 Malignancy 23 (5.6 %) 33 (6.3 %) 0.638 Transplant 3 (0.7 %) 2 (0.4 %) 0.473 Chronic Kidney Disease 47 (11.4 %) 44 (8.4 %) 0.127 BMI kg/m2 29.17 (25.8–33.42) 29.29 (25.77–33.2) 0.8611 Admission Characteristics Oxygen saturation at presentation 94 (91–96)* 94 (91–96)† 0.1729 Respiratory Rate, respirations per minute 20 (19–24) 20 (18–24) 0.0460 Pulse, beats per minute 97.66±18.61 99.40±19.82 0.0858 Baseline Systolic BP, mmHg 134.83±20.84 132.41±21.87 0.0435 Baseline Diastolic BP, mmHg 76.66±12.62 76.59±14.22 0.4670 Temperature, degrees Celsius 37.65±0.82 37.72±0.94 0.1354 White blood cell count 103/ul 6.9 (5.1–9.0) N=400 6.9 (5.1–9.3) N=500 0.5994 Absolute neutrophil count, 103/ul 5.15 (3.6–7.05) N=388 5.4 (3.8–7.5) N=488 0.0838 Absolute lymphocyte count, 103/ul 1 (0.7–1.3) N=388 0.9 (0.6–1.3) N=482 0.0180 Ferritin, ng ml−1 739 (379–1528) N=397 658 (336.2–1279) N=473 0.1304 d-Dimer, ng ml−1 341 (214–565) N=384 334 (215–587) N=435 0.7531 Troponin, ng ml−1 0.01 (0.01–0.02) N=389 0.015 (0.01–0.02) N=467 0.0111 Creatine Phosphokinase, U l−1 140 (68–330) N=343 151.5 (69.5–398.5) N=344 0.4371 Procalcitonin, ng l−1 0.12 (0.05–0.25) N=395 0.12 (0.06–0.43) N=478 0.0493 Creatinine, mg l−1 0.97 (0.8–1.34) N=400 0.99 (0.8–1.27) N=499 0.4140 C-Reactive Protein, mg l−1 104.95 (51.1–158.69) N=398 108.13 (53–157.11) N=480 0.9586 Medications recorded during hospitalization NSAID 53 (12.9 %) 74 (14.2 %) 0.563 Anticoagulant 402 (97.8 %) 511 (98.1 %) 0.772 ACE inhibitor or arb 138 (33.6 % 175 (33.7 %) 0.997 Beta Blocker 91 (22.1 %) 132 (25.3 %) 0.256 Calcium Channel Blocker 89 (21.7 %) 104 (20.0 %) 0.527 Corticosteroid 40 (9.7 %) 47 (9.0 %) 0.711 *Measured on supplemental oxygen for 86.4 % †Measured on supplemental oxygen for 83.1 %. In univariate analysis, the addition of zinc sulphate to hydroxychloroquine and azithromycin was not associated with a decrease in length of hospital stay, duration of mechanical ventilation, maximum oxygen flow rate, average oxygen flow rate, average fraction of inspired oxygen or maximum fraction of inspired oxygen during hospitalization (Table 2). In bivariate logistic regression analysis, the addition of zinc sulphate was associated with decreased mortality or transition to hospice (OR 0.511, 95 % CI 0.359–0.726), need for ICU (OR 0.545, 95 % CI 0.362–0.821) and need for invasive ventilation (OR 0.562, 95 % CI 0.354–0.891) (Table 3). However, after excluding all non-critically ill patients admitted to the intensive care unit, zinc sulphate no longer was found to be associated with a decrease in mortality (Table 3). Thus, this association was driven by patients who did not receive ICU care (OR 0.492, 95 % CI 0.303–0.799). We also found that the addition of zinc sulphate was associated with likelihood of discharge to home in univariate analysis (OR 1.56, 95 % CI 1.16–2.10) (Table 3). We performed a logistic regression model to account for the time-period when the addition of zinc sulphate to hydroxychloroquine plus azithromycin became utilized at NYULH. After adjusting for this date (25 March), we still found an association for likelihood of discharge to home (OR 1.53, 95 % CI 1.12–2.09) and decreased mortality or transition to hospice however the other associations were no longer significant (Table 3). The decrease in mortality or transition to hospice was most striking when considering only patients who were not admitted to the ICU (OR 0.449, P value: 0.002) (Table 3).
Table 2.

Comparisons of continuous hospital outcomes. Data are represented median (IQR) and as mean±sd. Sample size is reported for each variable tested. β coefficients and P values were calculated using linear regression. N was specified for each comparison. P <0.05 was deemed significant

Zinc

No zinc

β coefficient

P value

Length of ospital stay (in days)*

6 (4–9)

N=411

6 (3–9)

N=521

0.015

0.646

Duration of mechanical* ventilation (in days)

5 (3–8)

N=33

5 (3–9)

N=86

0.040

0.667

ICU duration (in days)*

4.85 (1.97–7.94)

N=38

5.54 (2.65–9.32)

N=82

−0.062

0.504

Oxygen flow rate maximum*

6 (3–15)

N=353

6 (3–15)

N=426

−0.015

0.679

Oxygen flow rate average*

3.05 (2.1–6.3)

N=353

3.5 (2.5–7.5)

N=426

−0.062

0.082

Fraction of inspired oxygen, average

61.52±32.03

N=107

65.26±34.48

N=117

−0.056

0.402

Fraction of inspired oxygen, maximum

74.94±35.75

N=107

71.98±35.85

N=117

0.041

0.538

*Variables were log transformed for regression analysis. Intensive care unit is abbreviated to ICU.

Table 3.

Comparison of categorical hospital outcomes. Data are represented as N (%). P values were calculated using logistic regression or multivariate logistic regression adjusting for patient admission after 25 March as a categorical variable. P <0.05 was deemed significant. N was specified for subgroup analyses. Intensive care unit is abbreviated to ICU

Discharged home

Needed ICU

Needed invasive

Ventilation

Expired/hospice

Expired/hospice*

Expired/hospice†

Zinc

N=411

317 (77.1 %)

38 (9.2 %)

29 (7.1 %)

54 (13.1 %)

28 (73.6 %)

N=38

26 (6.9 %)

N=373

No Zinc

N=521

356 (68.3 %)

82 (15.7 %)

62 (11.9 %)

119 (22.8 %)

61 (74.4 %)

N=82

58 (13.2 %)

N=439

Odds Ratio

1.56

0.545

0.562

0.511

0.964

0.492

95 % Confidence Interval

1.16–2.10

0.362–0.821

0.354–0.891

0.359–0.726

0.401–2.31

0.303–0.799

P value

0.003

0.004

0.014

<0.0001

0.934

0.004

Adjusted Odds Ratio

1.53

0.733

0.804

0.559

1.03

0.449

Adjusted 95 % Confidence Interval

1.12–2.09

0.471–1.14

0.487–1.33

0.385–0.811

0.404–2.64

0.271–0.744

Adjusted P value

0.008

0.168

0.396

0.002

0.947

0.002

*After excluding all non-ICU patients.

†After excluding all ICU patients.

Comparisons of continuous hospital outcomes. Data are represented median (IQR) and as mean±sd. Sample size is reported for each variable tested. β coefficients and P values were calculated using linear regression. N was specified for each comparison. P <0.05 was deemed significant Zinc No zinc β coefficient P value Length of ospital stay (in days)* 6 (4–9) N=411 6 (3–9) N=521 0.015 0.646 Duration of mechanical* ventilation (in days) 5 (3–8) N=33 5 (3–9) N=86 0.040 0.667 ICU duration (in days)* 4.85 (1.97–7.94) N=38 5.54 (2.65–9.32) N=82 −0.062 0.504 Oxygen flow rate maximum* 6 (3–15) N=353 6 (3–15) N=426 −0.015 0.679 Oxygen flow rate average* 3.05 (2.1–6.3) N=353 3.5 (2.5–7.5) N=426 −0.062 0.082 Fraction of inspired oxygen, average 61.52±32.03 N=107 65.26±34.48 N=117 −0.056 0.402 Fraction of inspired oxygen, maximum 74.94±35.75 N=107 71.98±35.85 N=117 0.041 0.538 *Variables were log transformed for regression analysis. Intensive care unit is abbreviated to ICU. Comparison of categorical hospital outcomes. Data are represented as N (%). P values were calculated using logistic regression or multivariate logistic regression adjusting for patient admission after 25 March as a categorical variable. P <0.05 was deemed significant. N was specified for subgroup analyses. Intensive care unit is abbreviated to ICU Discharged home Needed ICU Needed invasive Ventilation Expired/hospice Expired/hospice* Expired/hospice† Zinc N=411 317 (77.1 %) 38 (9.2 %) 29 (7.1 %) 54 (13.1 %) 28 (73.6 %) N=38 26 (6.9 %) N=373 No Zinc N=521 356 (68.3 %) 82 (15.7 %) 62 (11.9 %) 119 (22.8 %) 61 (74.4 %) N=82 58 (13.2 %) N=439 Odds Ratio 1.56 0.545 0.562 0.511 0.964 0.492 95 % Confidence Interval 1.16–2.10 0.362–0.821 0.354–0.891 0.359–0.726 0.401–2.31 0.303–0.799 0.003 0.004 0.014 <0.0001 0.934 0.004 Adjusted Odds Ratio 1.53 0.733 0.804 0.559 1.03 0.449 Adjusted 95 % Confidence Interval 1.12–2.09 0.471–1.14 0.487–1.33 0.385–0.811 0.404–2.64 0.271–0.744 Adjusted 0.008 0.168 0.396 0.002 0.947 0.002 *After excluding all non-ICU patients. †After excluding all ICU patients.

Discussion

While practicing at the epicentre of the pandemic in the United States, we were faced with unprecedented challenges of adopting investigational therapies quickly into clinical practice. Initially, antiviral options at our institution consisted of clinician preference for either ritonavir/lopinavir or hydroxychloroquine plus azithromycin. After the findings of ritonavir/lopinavir, we noticed an increase in the use of hydroxychloroquine plus azithromycin [16]. Our providers within the infectious diseases division, clinical pharmacy and hospitalists discussed the use of zinc sulphate as an addition to hydroxychloroquine, based on the potential synergistic mechanism, and low risk of harm associated with this therapy. There has been significant interest in the use of zinc sulphate to treat and prevent COVID-19 infection and its use is being considered in several trials (NCT04326725, NCT04377646, NCT04370782, NCT04373733, NCT04351490) [9, 17, 18]. To our knowledge, we provide the first in vivo evidence on the efficacy of zinc sulphate in addition to hydroxychloroquine in COVID-19 patients. The main finding of this study is that the addition of zinc sulphate to hydroxychloroquine and azithromycin was found to be associated with a decrease in mortality or transition to hospice among patients who did not require ICU level of care, but this association was not seen for patients who were treated in the ICU. This result may reflect one of the proposed mechanisms by which zinc sulphate may provide protection against COVID-19. Zinc has been shown to reduce SARS-CoV RNA-dependent RNA polymerase activity in vitro [14]. As such, zinc may have a role in preventing the virus from progressing to severe disease, but once the aberrant production of systemic immune mediators is initiated, known as the cytokine storm, the addition of zinc may no longer be effective [19]. To further examine the ability of zinc to prevent viral replication and disease progression, future studies should measure viral RNA levels in clinical specimens before and after zinc administration. Our findings suggest a potential protective effect of zinc, potentially enhanced by a therapeutic synergistic mechanism of zinc sulphate with hydroxychloroquine, if used early on in presentation with COVID-19. After adjusting for the timing of zinc sulphate treatment, the negative associations between zinc and the need for ICU and invasive ventilation were no longer significant but we did still observe a trend. This observation may be because patients with COVID-19 were initially sent to the ICU quicker, but as time went on and resources became more limited, clinicians began treating COVID-19 patients on general medicine floors for longer periods of time before escalating to the ICU. Future studies are needed to confirm or refute the hypothesis that the addition of zinc sulphate to a zinc ionophore such as hydroxychloroquine may reduce the need for ICU care in patients with COVID-19. This study has several limitations. First, this was an observational retrospective analysis that could be impacted by confounding variables. This is well demonstrated by the analyses adjusting for the difference in timing between the patients who did not receive zinc and those who did. In addition, we do not know whether the observed added benefit of zinc sulphate to hydroxychloroquine and azithromycin on mortality would have been seen in patients who took zinc sulphate alone or in combination with just one of those medications since few patients at our hospitals received zinc sulphate as stand-alone therapy. The optimal dose and formulation of zinc supplementation necessary to inhibit RNA-dependent RNA polymerase activity of coronaviruses also remains unknown. Early reports suggested higher doses may be necessary, ranging from 50 to 150 mg elemental zinc/day, and such doses have been proved to be safe for short periods of time when used for other viruses or in improving immune reconstitution [20-23]. In addition, although other formulations of zinc supplementation exist, in the form of acetate or gluconate, our hospital formulary had sulphate, which generally has a higher elemental amount of zinc per tablet. Therefore, further investigation is required to determine whether sulphate is the preferred formulation when used to treat coronaviruses, or if another formulation may be better tolerated. Given the recent concern regarding the potential for side effects associated with hydroxychloroquine, future studies should examine whether zinc sulphate would provide benefit as a stand-alone therapy or in combination with another zinc ionophore. In addition, as zinc is hypothesized to inhibit viral RNA polymerase, future studies are needed to determine if zinc synergistically acts with other antiviral medications. We also do not have data on the time at which the patients included in the study initiated therapy with hydroxychloroquine, azithromycin and zinc. Those drugs would have been started at the same time as a combination therapy, but the point in clinical disease at which patients received those medications could have differed between our two groups. Finally, the cohorts were identified based on medications ordered rather than confirmed administration, which may bias findings towards favouring equipoise between the two groups.

Conclusion

Zinc sulphate added to hydroxychloroquine and azithromycin associates with a decrease in mortality or transfer to hospice among patients who do not require ICU level of care and an increased likelihood to be discharged directly home from the hospital. In light of study limitations, this study alone is not sufficient to guide clinical practice. Rather, these findings suggest a potential role for zinc sulphate in COVID-19 patients and support the initiation of future randomized clinical trials investigating zinc sulphate against COVID-19.
  22 in total

Review 1.  Zinc and immunity: An essential interrelation.

Authors:  Maria Maares; Hajo Haase
Journal:  Arch Biochem Biophys       Date:  2016-03-26       Impact factor: 4.013

2.  Zn(2+) inhibits coronavirus and arterivirus RNA polymerase activity in vitro and zinc ionophores block the replication of these viruses in cell culture.

Authors:  Aartjan J W te Velthuis; Sjoerd H E van den Worm; Amy C Sims; Ralph S Baric; Eric J Snijder; Martijn J van Hemert
Journal:  PLoS Pathog       Date:  2010-11-04       Impact factor: 6.823

Review 3.  Zinc for the treatment of the common cold: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Michelle Science; Jennie Johnstone; Daniel E Roth; Gordon Guyatt; Mark Loeb
Journal:  CMAJ       Date:  2012-05-07       Impact factor: 8.262

4.  Zinc and respiratory tract infections: Perspectives for COVID‑19 (Review).

Authors:  Anatoly V Skalny; Lothar Rink; Olga P Ajsuvakova; Michael Aschner; Viktor A Gritsenko; Svetlana I Alekseenko; Andrey A Svistunov; Demetrios Petrakis; Demetrios A Spandidos; Jan Aaseth; Aristidis Tsatsakis; Alexey A Tinkov
Journal:  Int J Mol Med       Date:  2020-04-14       Impact factor: 4.101

5.  The Role of Zinc in Antiviral Immunity.

Authors:  Scott A Read; Stephanie Obeid; Chantelle Ahlenstiel; Golo Ahlenstiel
Journal:  Adv Nutr       Date:  2019-07-01       Impact factor: 8.701

6.  Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial.

Authors:  Philippe Gautret; Jean-Christophe Lagier; Philippe Parola; Van Thuan Hoang; Line Meddeb; Morgane Mailhe; Barbara Doudier; Johan Courjon; Valérie Giordanengo; Vera Esteves Vieira; Hervé Tissot Dupont; Stéphane Honoré; Philippe Colson; Eric Chabrière; Bernard La Scola; Jean-Marc Rolain; Philippe Brouqui; Didier Raoult
Journal:  Int J Antimicrob Agents       Date:  2020-03-20       Impact factor: 5.283

7.  In Vitro Antiviral Activity and Projection of Optimized Dosing Design of Hydroxychloroquine for the Treatment of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2).

Authors:  Xueting Yao; Fei Ye; Miao Zhang; Cheng Cui; Baoying Huang; Peihua Niu; Xu Liu; Li Zhao; Erdan Dong; Chunli Song; Siyan Zhan; Roujian Lu; Haiyan Li; Wenjie Tan; Dongyang Liu
Journal:  Clin Infect Dis       Date:  2020-07-28       Impact factor: 9.079

Review 8.  Molecular immune pathogenesis and diagnosis of COVID-19.

Authors:  Xiaowei Li; Manman Geng; Yizhao Peng; Liesu Meng; Shemin Lu
Journal:  J Pharm Anal       Date:  2020-03-05

9.  No evidence of rapid antiviral clearance or clinical benefit with the combination of hydroxychloroquine and azithromycin in patients with severe COVID-19 infection.

Authors:  J M Molina; C Delaugerre; J Le Goff; B Mela-Lima; D Ponscarme; L Goldwirt; N de Castro
Journal:  Med Mal Infect       Date:  2020-03-30       Impact factor: 2.152

10.  Outcomes of Hydroxychloroquine Usage in United States Veterans Hospitalized with COVID-19.

Authors:  Joseph Magagnoli; Siddharth Narendran; Felipe Pereira; Tammy H Cummings; James W Hardin; S Scott Sutton; Jayakrishna Ambati
Journal:  Med (N Y)       Date:  2020-06-05
View more
  54 in total

Review 1.  Review of Pharmacotherapy Trialed for Management of the Coronavirus Disease-19.

Authors:  Kimberly Hall; Fuhbe Mfone; Michael Shallcross; Vikas Pathak
Journal:  Eurasian J Med       Date:  2021-06

2.  Zinc.

Authors:  Anatoly V Skalny; Michael Aschner; Alexey A Tinkov
Journal:  Adv Food Nutr Res       Date:  2021-05-24

3.  Essential sufficiency of zinc, ω-3 polyunsaturated fatty acids, vitamin D and magnesium for prevention and treatment of COVID-19, diabetes, cardiovascular diseases, lung diseases and cancer.

Authors:  Michael J Story
Journal:  Biochimie       Date:  2021-05-31       Impact factor: 4.079

4.  The Role of Nutrition in COVID-19 Susceptibility and Severity of Disease: A Systematic Review.

Authors:  Philip T James; Zakari Ali; Andrew E Armitage; Ana Bonell; Carla Cerami; Hal Drakesmith; Modou Jobe; Kerry S Jones; Zara Liew; Sophie E Moore; Fernanda Morales-Berstein; Helen M Nabwera; Behzad Nadjm; Sant-Rayn Pasricha; Pauline Scheelbeek; Matt J Silver; Megan R Teh; Andrew M Prentice
Journal:  J Nutr       Date:  2021-07-01       Impact factor: 4.798

5.  Role of Endolysosomes in Severe Acute Respiratory Syndrome Coronavirus-2 Infection and Coronavirus Disease 2019 Pathogenesis: Implications for Potential Treatments.

Authors:  Nabab Khan; Xuesong Chen; Jonathan D Geiger
Journal:  Front Pharmacol       Date:  2020-10-29       Impact factor: 5.810

Review 6.  COVID-19: Before the Fall, An Evidence-Based Narrative Review of Treatment Options.

Authors:  Nicholas Rebold; Dana Holger; Sara Alosaimy; Taylor Morrisette; Michael Rybak
Journal:  Infect Dis Ther       Date:  2021-01-25

Review 7.  Joint Effort towards Preventing Nutritional Deficiencies at the Extremes of Life during COVID-19.

Authors:  Giulia C I Spolidoro; Domenico Azzolino; Raanan Shamir; Matteo Cesari; Carlo Agostoni
Journal:  Nutrients       Date:  2021-05-12       Impact factor: 5.717

Review 8.  Nutrition and immunity: lessons for COVID-19.

Authors:  Philip C Calder
Journal:  Nutr Diabetes       Date:  2021-06-23       Impact factor: 5.097

9.  Association of Vitamin D, Zinc and Selenium Related Genetic Variants With COVID-19 Disease Severity.

Authors:  Nikola Kotur; Anita Skakic; Kristel Klaassen; Vladimir Gasic; Branka Zukic; Vesna Skodric-Trifunovic; Mihailo Stjepanovic; Zorica Zivkovic; Olivera Ostojic; Goran Stevanovic; Lidija Lavadinovic; Sonja Pavlovic; Biljana Stankovic
Journal:  Front Nutr       Date:  2021-06-04

Review 10.  Nutrition and immunity: lessons for COVID-19.

Authors:  Philip C Calder
Journal:  Eur J Clin Nutr       Date:  2021-06-23       Impact factor: 4.884

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.